Data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long share their favorite R libraries at the New York R Conference. Topics include iGraph for transitioning to full-time R programming, Segway package benefits, Snake Make vs. Targets for data cleaning, and intuitive open-source libraries for non-coders.

Drew Conway, an expert in data science for private investing, discusses his work at Two Sigma. Topics include the R Conference, machine learning for hackers, team structure at Two Sigma, and audience Q&A. The episode delves into the evolution of the R Conference, the value of community involvement for data science professionals, the Venn diagram in data science, and the future of data science as an interdisciplinary discipline.